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## Pack Model
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pack model to tar.gz, e.g.
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```bash
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./utils/pack_model.sh --preprocess_conf conf/preprocess.yaml --dict data/vocab.txt conf/conformer.yaml '' data/mean_std.json exp/conformer/checkpoints/wenetspeec
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h.pdparams
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```
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show model.tar.gz
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```
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tar tf model.tar.gz
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```
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other way is:
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```bash
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tar cvzf asr1_chunk_conformer_u2_wenetspeech_ckpt_1.1.0.model.tar.gz model.yaml conf/tuning/ conf/chunk_conformer.yaml conf/preprocess.yaml data/mean_std.json exp/chunk_conformer/checkpoints/
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```
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## Export Static Model
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>> `data/test_meeting/data.list`
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>> {"input": [{"name": "input1", "shape": [3.2230625, 80], "feat": "/home/PaddleSpeech/dataset/aishell/data_aishell/wav/test/S0764/BAC009S0764W0163.wav", "filetype": "sound"}], "output": [{"name": "target1", "shape": [9, 5538], "text": "\u697c\u5e02\u8c03\u63a7\u5c06\u53bb\u5411\u4f55\u65b9", "token": "\u697c \u5e02 \u8c03 \u63a7 \u5c06 \u53bb \u5411 \u4f55 \u65b9", "tokenid": "1891 1121 3502 1543 1018 477 528 163 1657"}], "utt": "BAC009S0764W0163", "utt2spk": "S0764"}
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>> Test Wav:
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>> wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
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### U2 chunk conformer
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>> UiDecoder
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>> Make sure `reverse_weight` in config is `0.0`
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>> https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_u2_wenetspeech_ckpt_1.1.0.model.tar.gz
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```
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tar zxvf asr1_chunk_conformer_u2_wenetspeech_ckpt_1.1.0.model.tar.gz
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./local/export.sh conf/chunk_conformer.yaml exp/chunk_conformer/checkpoints/avg_10 ./export.ji
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```
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### U2++ chunk conformer
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>> BiDecoder
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>> https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_u2pp_wenetspeech_ckpt_1.1.0.model.tar.gz
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>> Make sure `reverse_weight` in config is not `0.0`
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```
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./local/export.sh conf/chunk_conformer_u2pp.yaml exp/chunk_conformer/checkpoints/avg_10 ./export.ji
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```
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